Project Brief

We are seeking a high-caliber AI Specialist to build and scale advanced machine learning systems. You will be responsible for developing state-of-the-art models using Deep Learning and Transformer architectures while ensuring absolute reproducibility through expert-level MLOps.
This role is at the intersection of rigorous mathematics and elite engineering, focusing on creating elegant solutions to complex AI problems.

Project Brief

We are seeking a high-caliber AI Specialist to build and scale advanced machine learning systems. You will be responsible for developing state-of-the-art models using Deep Learning and Transformer architectures while ensuring absolute reproducibility through expert-level MLOps.

This role is at the intersection of rigorous mathematics and elite engineering, focusing on creating elegant solutions to complex AI problems.

Location:

Remote LATAM

Must-Haves

Machine Learning & Frameworks:

Strong proficiency in PyTorch or Tensor Flow/Keras and hands-on experience with the Hugging Face ecosystem (Transformers, Datasets, Accelerate).

MLflow Mastery:

Expert knowledge of MLflow Tracking, Projects, and Models for full lifecycle management.

Engineering Excellence:

Expert-level Python (OOP, asynchronous programming) and advanced Git workflows including DVC.

Core Mathematics:

Deep theoretical understanding of the Attention Mechanism, Gradient Descent, and Linear Algebra.

Deployment & Tooling:

Proficiency with Docker and building/securing REST/gRPC APIs for model serving.

Nice to Have

Generative AI:

Familiarity with RAG architectures and vector databases such as Pinecone, Milvus, or Weaviate.

Advanced MLOps:

Experience with MLflow Recipes for standardized production workflows and basic Kubernetes orchestration.

Efficiency & Scale:

Experience with Deep Speed, ONNX Runtime, or NVIDIA TensorRT, and knowledge of distributed training (Ray, Horovod, or DDP).

Cloud Platforms:

Hands-on experience with AWS Sage Maker, GCP Vertex AI,



or Azure ML.

What You Will Do

Model Development:

Design and implement Deep Learning models and Transformers, using classical ML (Scikit-learn, XGBoost) for baseline comparisons.

Standardize Workflows:

Lead the implementation of reproducible ML environments using MLflow and Data Version Control (DVC).

Production Engineering:

Build, profile, and secure high-performance APIs to serve models in production environments.

Cross-Functional Delivery:

Work within 1-week sprints to move fast from research to delivery, ensuring robust and scalable AI solutions.

Why This Could Be Your Next Big Move

Work on Cutting-Edge Tech at Scale

- This is a unique opportunity to join an elite digital product agency where you will apply deep mathematical concepts to real-world products. You will have high influence over the AI architecture and MLOps standards, working in a fast-paced environment that prioritizes technical excellence and elegant engineering. If you are looking to bridge the gap between research-level AI and production-grade delivery, this is the place to do it.

Benefits & Compensation

Fully Remote

- work from anywhere in Latin America.

Long-term contract

- starting with a 6-month contract, then full-time.

Paid PTO

- details provided per role.

Referral Program

- earn a bonus for referring talent that gets hired.

To Apply

Please send your resume in

English .

Linked In Profile URL

(Required).

Git Hub Repository

- mandatory for this engineering-heavy AI role (Required).

Cover Letter

(Optional but encouraged) - tell us about the most complex Attention-based model you have deployed to production.

About One Seven Tech

Founded by

James Sullivan , One Seven Tech is a premier digital product agency serving startups and enterprises. Our clients have collectively raised over

$100M in VC , and our enterprise partners include NASDAQ-listed companies. We work fully remote, move fast with 1-week sprints, and focus on elegant solutions to complex problems.

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📌 General AI Specialist - PyTorch, MLflow, & Transformers (Córdoba)
🏢 OneSeven Tech (OST)
📍 Córdoba